ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506II_FA506II
Geekbench ML Score
1408
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 01 2024 11:56 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506II_FA506II |
| Motherboard | ASUSTeK COMPUTER INC. FA506II |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
535
100.1 IPS |
|
|
Image Classification (F16)
|
100% |
534
99.9 IPS |
|
|
Image Classification (I8)
|
100% |
470
88.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
672
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
662
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
588
9.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
6973
8.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
6965
8.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
5560
6.73 IPS |
|
|
Object Detection (F32)
|
100% |
549
41.0 IPS |
|
|
Object Detection (F16)
|
100% |
552
41.2 IPS |
|
|
Object Detection (I8)
|
64% |
494
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (I8)
|
89% |
871
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3008
23.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3001
23.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2457
19.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12397
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12312
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
9245
12.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2851
101.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2828
101.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1828
65.3 IPS |
|
|
Text Classification (F32)
|
100% |
591
849.9 IPS |
|
|
Text Classification (F16)
|
100% |
587
844.0 IPS |
|
|
Text Classification (I8)
|
98% |
397
571.2 IPS |
|
|
Machine Translation (F32)
|
100% |
856
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
852
15.7 IPS |
|
|
Machine Translation (I8)
|
69% |
457
8.41 IPS |
